∗ Funded by the German Research Foundation (DFG, Deutsche Forschungsgemeinschaft)
as part of Germany's Excellence Strategy–EXC 2050/1–Project ID 390696704–Cluster of …

Abstract Extensive use of Intelligent Personal Assistants (IPA) and biometrics in our day-to-
day life asks for privacy preservation while dealing with personal data. To that effect, efforts …

Biometric data contains distinctive human traits such as facial features or gait patterns. The
use of biometric data permits an individuation so exact that the data is utilized effectively in …

With the rise in usage of voice assistants and spoken language interfaces, important
concerns regarding voice data privacy have been prompted. In an attempt to reduce the …

There is a growing demand toward digitization of various day-to-day work and hence, there
is a surge in use of Intelligent Personal Assistants. The extensive use of these smart digital …

This paper introduces a novel approach for hiding personal information in speech signals.
The proposed approach applied a transform warping function, which is obtained from a long …

Our behavior (the way we talk, walk, act or think) is unique and can be used as a biometric
trait. It also correlates with sensitive attributes like emotions and health conditions. Hence …

Speaker anonymization has been developed to protect personally identifiable information w
hile r etaining other encapsulated information in speech. Datasets, metrics, and protocols for …

Gender expansive (transgender and nonbinary) listeners are typically left out of the study of
sociophonetic perception, and even phonetic studies more broadly, although there is an …

Privacy preservation methods for voice data are evolving day by day. A recent state-of-the-
art voice privacy algorithm uses an x-vector and neural source-filter (NSF)-based …